Machine Learning Engineer Graduate

OverviewMachine Learning Engineer Graduate (E-Commerce Risk Control) - 2026 Start (BS/MS) at ByteDance.Join to apply for the Machine Learning Engineer Graduate (E-Commerce Risk Control) - 2026 Start (BS/MS) role at ByteDance.Get AI-powered advice on this job and more exclusive features.ResponsibilitiesDevelop and implement innovative machine learning algorithms to manage business risks in TikTok's products and platforms.Prototype and explore novel solutions, conduct experiments to validate hypotheses, and provide insights to Product and Tech teams.Collaborate with multidisciplinary teams to enhance current automation processes.Build efficient data querying infrastructure for real-time and offline analysis. Identify opportunities to strengthen risk defense solutions.Define risk control metrics and promote data-driven practices. Align teams and stakeholders on numeric goals for risk control.Document technical processes and effectively communicate results through writing, visualizations, and presentations.Team contextThe E-Commerce Risk Control (ECRC) Team's Mission is to protect TikTok e-commerce users (buyers, sellers, creators), make TikTok e-commerce the safest and most trusted place worldwide to transact online, and mitigate risk through software systems, risk models, and cross-functional collaboration.We prevent and detect risk attempts on TikTok Shop and mitigate negative impacts on customers and Selling Partners across account integrity, incentive abuse, malicious activities, brushing, click-farm, information leakage, etc. We develop state-of-the-art ML solutions and empower teams to reduce risk through our mechanisms.QualificationsMinimum QualificationsBachelor's degree or higher in Computer Science, Engineering, Operations Research, or related fields.Final year or recent graduate in Computer Science, Computer Engineering, or related technical discipline.Proficiency in modern machine learning theories and applications (ensemble trees, deep neural networks, transfer/multi-task learning, reinforcement learning, graph theory, unsupervised learning).Experience with Python, SQL/Hive, and Hadoop.Strong understanding of data structures and algorithms with strong problem-solving ability.Detail oriented, good time management, and strong analytical skills.Preferred QualificationsDemonstrated software engineering experience from internships, work, coding competitions, or publications.Internship or research experience in e-commerce or risk control domain.Curiosity towards new technologies and entrepreneurship.Creativity and quick problem-solving capabilities.Job InformationCompensation: The base salary range for this position in the selected city is $118,658 - $168,150 annually. Compensation may vary based on qualifications, skills, and location. Base pay may be eligible for bonuses/incentives and RSUs. Benefits include medical, dental, vision, 401(k) with company match, parental leave, disability coverage, life insurance, wellbeing benefits, 10 paid holidays, 10 paid sick days, and 17 days of Paid Personal Time (prorated on hire).The Company reserves the right to modify benefits programs at any time, with or without notice.DEI & AccommodationsReasonable Accommodation: ByteDance provides accommodations in recruitment processes for candidates with disabilities, pregnancy, or other protected reasons. If you need assistance, please reach out for accommodation.Los Angeles County Local Notice: Qualified applicants with arrest or conviction records will be considered in compliance with applicable laws, including the Fair Chance Act.About UsFounded in 2012, ByteDance inspires creativity and enriches life with products like TikTok, Lemon8, CapCut, Pico, Toutiao, Douyin, and Xigua. We value diversity and inclusion and encourage everyone to join us on our mission.Seniority levelInternshipEmployment typeFull-timeJob functionEngineering and Information TechnologyIndustries: Software Development #J-18808-Ljbffr